资源列表
Multi-objective-evolutionary
- NSGA的源程序，是多目标进化算法的智能算法，可用于多目标优化与决策等方面的计算(NSGA source, multi-objective evolutionary algorithm intelligent algorithm can be used to calculate other multi-objective optimization and decision-making)
模糊神经网络 边坡
- 一类模糊神经网络用于边坡分类预测，注释详细，内容丰富(A kind of fuzzy neural network is used for slope classification prediction, with detailed annotations and rich content.)
GAN-master
- 关于各种GAN的代码实列，包括ｃｇａｎ，ｉｎｆｏｇａｎ，ｗｇａｎ等。(Code listings for various GANs, including cgan, infogan, wgan, etc.)
confusion_matrix1
- 只有一个文件，调用函数即可生成混淆矩阵，参数可在文件中更改(Call the function to generate a confusion matrix, parameters can be changed in the file)
短时功率谱密度
- 语音信号是一个非平稳时变的信号，所以用计算稳态信号的方法计算功率谱密度函数没有太大意义，看不出信号的动态变化，"gonglvpu"给出计算短时功率谱密度函数(Speech signal is a non-stationary time-varying signal, so it is not very meaningful to calculate the power spectral density function by calculating the steady-st
tbtained-numerical
- 用数值方法来求解雅克比矩阵的迭代过程,并且有仿真结果(The iterative process of Jacobian matrix is solved by numerical method, and the simulation results are obtained.)
TensorFlow tf.data 导入数据（tf
- tensorflow 数据集的建立方法与实战应用 数据集建立的四种方法 技巧和需要注意的关键点(Tensorflow data set establishment method and practical application Data set four methods Tips and key points to pay attention to)
Genetic-Algorithm-with-python-master
- 修复人缺失图像Genetic-Algorithm-with-python-master(Genetic-Algorithm-with-python-master)
RNN语音识别
- 基于深度学习平台tensorflow，利用RNN网络进行语音识别实例代码，希望对大家有帮助(Based on the deep learning platform tensorflow, the RNN network is used to carry out the speech recognition instance code, hoping to be helpful to everyone)
rnn文字识别
- 基于深度学习平台tensorflow，利用RNN进行文字识别实例，(Based on the deep learning platform tensorflow, RNN is used for text recognition.)
tick
- 采用卡尔曼滤波的方法对两只股票走势相近的股票进行预测，进行低买高卖的操作，从中获利。(Kalman filter method is used to predict two stocks with similar trend, and the operation of buying low and selling high is carried out to profit from it.)
ALEXNET
- 搭建的一个AlexNet的网络结构，包含原始AlexNet的最基本结构，使用的数据集为mnist，所以对其中的参数做出较小的修改，搭建网络方式比较典型，可根据范例结构自行扩展（包括原始mnist数据）(Build an AlexNet network structure, including the most basic structure of the original AlexNet, using a data set of mnist, so the parameters of the s